Merge branch 'main' into fix59933

Author: anzber

doc/source/user_guide/window.rst

@@ -70,7 +70,8 @@ which will first group the data by the specified keys and then perform a windowi
 
     Some windowing aggregation, ``mean``, ``sum``, ``var`` and ``std`` methods may suffer from numerical
     imprecision due to the underlying windowing algorithms accumulating sums. When values differ
-    with magnitude :math:`1/np.finfo(np.double).eps` this results in truncation. It must be
+    with magnitude ``1/np.finfo(np.double).eps`` (approximately :math:`4.5 \times 10^{15}`),
+    this results in truncation. It must be
     noted, that large values may have an impact on windows, which do not include these values. `Kahan summation
     <https://en.wikipedia.org/wiki/Kahan_summation_algorithm>`__ is used
     to compute the rolling sums to preserve accuracy as much as possible.

pandas/core/series.py

@@ -4651,7 +4651,7 @@ def rename(
         inplace: Literal[True],
         level: Level | None = ...,
         errors: IgnoreRaise = ...,
-    ) -> None: ...
+    ) -> Series | None: ...
 
     @overload
     def rename(
@@ -4665,18 +4665,6 @@ def rename(
         errors: IgnoreRaise = ...,
     ) -> Series: ...
 
-    @overload
-    def rename(
-        self,
-        index: Renamer | Hashable | None = ...,
-        *,
-        axis: Axis | None = ...,
-        copy: bool | lib.NoDefault = ...,
-        inplace: bool = ...,
-        level: Level | None = ...,
-        errors: IgnoreRaise = ...,
-    ) -> Series | None: ...
-
     def rename(
         self,
         index: Renamer | Hashable | None = None,
@@ -4734,8 +4722,9 @@ def rename(
 
         Returns
         -------
-        Series or None
-            Series with index labels or name altered or None if ``inplace=True``.
+        Series
+            A shallow copy with index labels or name altered, or the same object
+            if ``inplace=True`` and index is not a dict or callable else None.
 
         See Also
         --------

pandas/core/strings/accessor.py

@@ -3549,12 +3549,29 @@ def casefold(self):
     also includes other characters that can represent quantities such as
     unicode fractions.
 
-    >>> s1 = pd.Series(['one', 'one1', '1', ''])
+    >>> s1 = pd.Series(['one', 'one1', '1', '', '³', '⅕'])
     >>> s1.str.isnumeric()
     0    False
     1    False
     2     True
     3    False
+    4     True
+    5     True
+    dtype: bool
+
+    For a string to be considered numeric, all its characters must have a Unicode
+    numeric property matching :py:meth:`str.is_numeric`. As a consequence,
+    the following cases are **not** recognized as numeric:
+
+    - **Decimal numbers** (e.g., "1.1"): due to period ``"."``
+    - **Negative numbers** (e.g., "-5"):  due to minus sign ``"-"``
+    - **Scientific notation** (e.g., "1e3"): due to characters like ``"e"``
+
+    >>> s2 = pd.Series(["1.1", "-5", "1e3"])
+    >>> s2.str.isnumeric()
+    0    False
+    1    False
+    2    False
     dtype: bool
     """
     _shared_docs["isalnum"] = """

pandas/io/formats/style.py

@@ -187,6 +187,8 @@ class Styler(StylerRenderer):
 
     Attributes
     ----------
+    index : data.index Index
+    columns : data.columns Index
     env : Jinja2 jinja2.Environment
     template_html : Jinja2 Template
     template_html_table : Jinja2 Template